AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TAP-RAG, a task-aware policy-controlled RAG framework for long-document multimodal QA, achieves the best overall accuracy among the compared systems, improving over a matched multimodal-RAG baseline.
CANN Bench is an open benchmark for AI-generated operator code on Huawei's Ascend NPU, designed for long-term community co-construction, providing the Ascend ecosystem with a quantitative, reproducible, and sustainably maintained yardstick for AI operator-authoring capability.
CaRe is proposed, a training-free robust framework that calibrates compact visual representations before reasoning to preserve semantic fidelity in VLMs and outperforms state-of-the-art token reduction baselines.
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